Translation components API.

See the Weblate's Web API documentation for detailed description of the API.

GET /api/translations/libo_help-master/textscalc01/eo/units/?format=api&page=62
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Content-Type: application/json
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            "source": [
                "The inverse function is GAMMAINV or GAMMA.INV."
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                "<emph>Number</emph> is the value for which the Gamma distribution is to be calculated."
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                "<emph>Numero</emph> estas la valoro por kiu la Gama-distribuo estas komputota."
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                "<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution."
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                "<emph>Alfa</emph> estas parametro Alfa de la gama-distribuo."
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                "<emph>Beta</emph> is the parameter Beta of the Gamma distribution."
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                "<item type=\"input\">=GAMMA.DIST(2;1;1;1)</item> yields 0.86."
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                "<item type=\"input\">=GAMALN(2)</item> liveras je 0."
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                "<bookmark_value>GAUSS function</bookmark_value>         <bookmark_value>normal distribution; standard</bookmark_value>"
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                "<bookmark_value>NORMINV-funkcio</bookmark_value><bookmark_value>norma distribuo;inverso de</bookmark_value>"
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                "GAUSS"
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                "GAŬS"
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                "<ahelp hid=\"HID_FUNC_GAUSS\">Returns the standard normal cumulative distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GAUSS\">Liveras la norman akumulan distribuon.</ahelp>"
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                "It is GAUSS(x)=NORMSDIST(x)-0.5"
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                "Ĝi estas GAŬS(x)=NORMSDIST(x)-0.5"
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                "GAUSS(Number)"
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                "<emph>Number</emph> is the value for which the value of the standard normal distribution is to be calculated."
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                "<item type=\"input\">=DELTA(1;2)</item> liveras je 0."
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                "<item type=\"input\">=DELTA(1;2)</item> liveras je 0."
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                "<bookmark_value>GEOMEAN function</bookmark_value>         <bookmark_value>means;geometric</bookmark_value>"
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                "<bookmark_value>ESTASPARA-funkcio</bookmark_value><bookmark_value>paraj entjeroj</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_GEOMITTEL\">Liveras la geometran mezumon de samplo.</ahelp>"
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            "source": [
                "<item type=\"input\">=GEOMEAN(23;46;69)</item> = 41.79. The geometric mean value of this random sample is therefore 41.79."
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                ""
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            "source": [
                "<bookmark_value>TRIMMEAN function</bookmark_value>         <bookmark_value>means;of data set without margin data</bookmark_value>"
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                "<bookmark_value>ESTASPARA-funkcio</bookmark_value><bookmark_value>paraj entjeroj</bookmark_value>"
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                "TRIMMEAN"
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                "MEZUMO.REDUKTITA"
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                "<ahelp hid=\"HID_FUNC_GESTUTZTMITTEL\">Returns the mean of a data set without the Alpha percent of data at the margins.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GESTUTZTMITTEL\">Liveras la mezumon de datumaro sen la Alfa procento de datumoj ĉe la marĝenoj.</ahelp>"
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                "TRIMMEAN(Data; Alpha)"
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                "MEZUMO.REDUKTITA(Datumoj; Alfa)"
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            "source": [
                "<emph>Data</emph> is the array of data in the sample."
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                "<emph>Datumoj</emph> estas la tabelo de datumoj en la samplo."
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            "source": [
                "<emph>Alpha</emph> is the percentage of the marginal data that will not be taken into consideration."
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                "<emph>Alfa</emph> estas la procento de la marĝenaj datumoj kiujn ne traktu."
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                "<item type=\"input\">=TRIMMEAN(A1:A50; 0.1)</item> calculates the mean value of numbers in A1:A50, without taking into consideration the 5 percent of the values representing the highest values and the 5 percent of the values representing the lowest ones. The percentage numbers refer to the amount of the untrimmed mean value, not to the number of summands."
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                "<item type=\"input\">=MEZUMO.REDUKTITA(A1:A50; 0,1)</item> kalkulas la mezumon de la numeroj en A1:A50, sen trakti la 5 procentojn de la valoroj kiuj reprezentas la plej altajn kaj la 5 procentojn de la valoroj kiuj reprezentas la plej malaltajn. La procentoj rilatas al la valoro de la nestucita mezumo, ne al la nombro da sumitaj."
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            "source": [
                "<bookmark_value>ZTEST function</bookmark_value>"
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                "<bookmark_value>ZTEST-funkcio</bookmark_value>"
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                "ZTEST"
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                "<ahelp hid=\"HID_FUNC_GTEST\">Calculates the probability of observing a z-statistic greater than the one computed based on a sample.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GTEST\">Liveras la duflankan P-valoron de z-testo kun norma distribuo.</ahelp>"
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            "source": [
                "<emph>Data</emph> is the given sample, drawn from a normally distributed population."
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                "<emph>Datumoj</emph> estas la tabelo de datumoj."
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            "source": [
                "<emph>mu</emph> is the known mean of the population."
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                "<emph>Numero</emph> estas la valoro testota."
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            "source": [
                "<emph>Sigma</emph> (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used."
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                "<emph>Sigmo</emph> (malnepra) estas la norma devio de la tuta populacio. Se tiu argumento mankas, procesos la norman devion de la aktuala samplo."
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                "<bookmark_value>Z.TEST function</bookmark_value>"
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        },
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/eo/?format=api",
            "source": [
                "<ahelp hid=\"HID_FUNC_Z_TEST_MS\">Calculates the probability of observing a z-statistic greater than the one computed based on a sample.</ahelp>"
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            "target": [
                "<ahelp hid=\"HID_FUNC_Z_TEST_MS\">Liveras la probablon observi z-teston pli grandan ol tiu komputita baze sur la specimeno.</ahelp>"
            ],
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            "priority": 100,
            "id": 1501700,
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        },
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/eo/?format=api",
            "source": [
                "<emph>Data</emph> is the given sample, drawn from a normally distributed population."
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            "target": [
                "<emph>Datumoj</emph> estas la tabelo de datumoj."
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            "priority": 100,
            "id": 1501702,
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        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/eo/?format=api",
            "source": [
                "<emph>mu</emph> is the known mean of the population."
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            "target": [
                "<emph>Numero</emph> estas la valoro testota."
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            "priority": 100,
            "id": 1501703,
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        },
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/eo/?format=api",
            "source": [
                "<emph>Sigma</emph> (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used."
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            "target": [
                "<emph>Sigmo</emph> (malnepra) estas la norma devio de la tuta populacio. Se tiu argumento mankas, procesos la norman devion de la aktuala samplo."
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            "priority": 100,
            "id": 1501704,
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            "source": [
                "<item type=\"input\">=Z.TEST(A2:A20; 9; 2)</item> returns the result of a z-test on a sample A2:A20 drawn from a population with known mean 9 and known standard deviation 2."
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                ""
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            "priority": 100,
            "id": 1501705,
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            "source": [
                "<bookmark_value>HARMEAN function</bookmark_value>         <bookmark_value>means;harmonic</bookmark_value>"
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                "<bookmark_value>ESTASPARA-funkcio</bookmark_value><bookmark_value>paraj entjeroj</bookmark_value>"
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                "HARMEAN"
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            "source": [
                "<ahelp hid=\"HID_FUNC_HARMITTEL\">Returns the harmonic mean of a data set.</ahelp>"
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            "target": [
                "<ahelp hid=\"HID_FUNC_HARMITTEL\">Liveras la harmonian mezumon de samplo.</ahelp>"
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            "source": [
                "<item type=\"input\">=HARMEAN(23;46;69)</item> = 37.64. The harmonic mean of this random sample is thus 37.64"
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            "source": [
                "<bookmark_value>HYPGEOMDIST function</bookmark_value>         <bookmark_value>sampling without replacement</bookmark_value>"
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                "<bookmark_value>NEGBINOMDIST-funkcio</bookmark_value><bookmark_value>negativa binomia distribuo</bookmark_value>"
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            "id": 1501712,
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                "HYPGEOMDIST"
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            "source": [
                "<ahelp hid=\"HID_FUNC_HYPGEOMVERT\">Returns the hypergeometric distribution.</ahelp>"
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            "target": [
                "<ahelp hid=\"HID_FUNC_HYPGEOMVERT\">Liveras la hipergeometrian distribuon.</ahelp>"
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            "source": [
                "<emph>X</emph> is the number of results achieved in the random sample."
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                "<emph>X</emph> estas la nombro da rezultoj en la hazarda samplo."
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            "source": [
                "<emph>NSample</emph> is the size of the random sample."
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            "source": [
                "<emph>Successes</emph> is the number of possible results in the total population."
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                "<emph>Sukcesoj</emph> estas la nombro da eblaj rezultoj en la tuta populacio."
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            "source": [
                "<emph>NPopulation </emph>is the size of the total population."
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                "<emph>N_populacio</emph> estas la grando de la tuta populacio."
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                "<item type=\"input\">=HYPGEOMDIST(2;2;90;100)</item> yields 0.81. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first."
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                "<bookmark_value>NEGBINOMDIST-funkcio</bookmark_value><bookmark_value>negativa binomia distribuo</bookmark_value>"
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